Genetic Algorithm Optimal Model For Slab Formwork Cost And Design

Show simple item record Al Tabtabai, Hashem M. en_US
date.accessioned 2009-11-25T13:03:57Z en_US
date.available 2009-11-25T13:03:57Z en_US
date.issued 2000 en_US
identifier.citation Engineering Journal of Qatar University, 2000, Vol. 13, Pages 177-192. en_US
identifier.uri en_US
description.abstract This paper introduces Genetic Algorithms technique to find an optimum formwork design, using optimum section of joists, stringers and shores along with their spacing, and satisfying minimum cost. Genetic Algorithms technique is based on the principles of natural selection and evolution, and it is used to solve optimization problems. This technique searches from a population of possible solutions that is limited by a set of constraints. The bending moment, shear, maximum deflection, and other imposed ACI code provisions, were used as constraints for the optimization problem. The Genetic Algorithms solution to the formwork design problem provides optimum design parameters such as the optimum cross section for form members, optimum spacing of form members, etc. The cost of material and labor involved in formwork erection are considered in the formulation of the objective function of the optimization problem. The method developed can be applied to the design of formwork for elevated slabs and high rise concrete elements. en_US
language.iso en en_US
publisher Qatar University en_US
subject Engineering: Civil Engineering en_US
title Genetic Algorithm Optimal Model For Slab Formwork Cost And Design en_US
type Article en_US
identifier.pagination 177-192 en_US
identifier.volume 13 en_US

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